|
|
|
|
Uncertainty in Artificial Intelligence 6 Conference on Uncertainty in Artificial Intelligence ( 1990 )
Jul 27-29 1990, Cambridge, MA
Edited By:
Published By: Elsevier Science, Amsterdam, NL
ISBN: 0-444-89264-8
 |
A Combination of Cutset Conditioning with Clique-Tree Propagation in the Pathfinder System |
|
Jaap Suermondt
, Gregory Cooper
, David Heckerman
|
|
A Hierarchical Approach to Designing Approximate Reasoning-Based Controllers for Dynamic Physical Systems |
|
Hamid Berenji
, Yung-Yaw Chen
, Chuen-Chien Lee
, Jyh-Shing Jang
, S. Murugesan
|
|
A Model for Non-Monotonic Reasoning Using Dempster's Rule |
|
Mary McLeish
|
|
A New Algorithm for Finding MAP Assignments to Belief Network |
|
Solomon Shimony
, Eugene Charniak
|
|
A New Approach to Updating Beliefs |
|
Ronald Fagin
, Joseph Halpern
|
|
Analysis in HUGIN of Data Conflict |
|
Finn Jensen
, Bo Chamberlain
, Torsten Nordahl
, Frank Jensen
|
|
Computational Aspects of the Möbius Transformation |
|
Robert Kennes
, Philippe Smets
|
|
Computationally-Optimal Real-Resource Strategies for Independent, Uninterruptible Methods |
|
David Einav
, Michael Fehling
|
|
Computing Probability Intervals Under Independency Constraints |
|
Linda van der Gaag
|
|
Context-Dependent Similarity |
|
Yizong Cheng
|
|
Credibility Discounting in the Theory of Approximate Reasoning |
|
Ronald Yager
|
|
Decision Making with Interval Influence Diagrams |
|
John Breese
, Kenneth Fertig
|
|
Default Reasoning and the Transferable Belief Model |
|
Philippe Smets
, Yen-Teh Hsia
|
|
Directed Reduction Algorithms and Decomposable Graphs |
|
Ross Shachter
, Stig Andersen
, Kim-Leng Poh
|
|
Dynamic Construction of Belief Networks |
|
Robert Goldman
, Eugene Charniak
|
|
Equivalence and Synthesis of Causal Models |
|
Tom Verma
, Judea Pearl
|
|
Exploiting Functional Dependencies in Qualitative Probabilistic Reasoning |
|
Michael Wellman
|
|
Ideal Reformulation of Belief Networks |
|
John Breese
, Eric Horvitz
|
|
Integrating Case Based and Rule Based Reasoning: The Possibilistic Connection |
|
Soumitra Dutta
, Piero Bonissone
|
|
Integrating Probabilistic, Taxonomic and Causal Knowledge in Abductive Diagnosis |
|
Dekang Lin
, Randy Goebel
|
|
Kutató: An Entropy-Driven System for Construction of Probabilistic Expert Systems from Databases |
|
Edward Herskovits
, Gregory Cooper
|
|
On Heuristics for Finding Loop Cutsets in Multiply-Connected Belief Networks |
|
Jonathan Stillman
|
|
Optimal Decomposition of Belief Networks |
|
Wilson Wen
|
|
Possibility as Similarity: The Semantics of Fuzzy Logic |
|
Enrique Ruspini
|
|
Probabilistic Evaluation of Candidate Sets for Multidisorder Diagnosis |
|
Thomas Wu
|
|
Problem Formulation as the Reduction of a Decision Model |
|
David Heckerman
, Eric Horvitz
|
|
Propagating Uncertainty in Rule Based Cognitive Modeling |
|
Thomas Shultz
|
|
Pruning Bayesian Networks for Efficient Computation |
|
Michelle Baker
, Terrance Boult
|
|
Qualitative Propagation and Scenario-based Schemes for Explaining Probabilistic Reasoning |
|
Max Henrion
, Marek Druzdzel
|
|
Refinement and Coarsening of Bayesian Networks |
|
Kuo-Chu Chang
, Robert Fung
|
|
Second Order Probabilities for Uncertain and Conflicting Evidence |
|
Gerhard PaaÃ?
|
|
Separable and Transitive Graphoids |
|
Dan Geiger
, David Heckerman
|
|
Similarity Networks for the Construction of Multiple-Fault Belief Networks |
|
David Heckerman
|
|
The Transferable Belief Model and other Interpretations of Dempster-Shafer's Model |
|
Philippe Smets
|
|
Time, Chance, and Action |
|
Peter Haddawy
|
|
Updating with Belief Functions, Ordinal Conditional Functions and Possibility Measures |
|
Didier Dubois
, Henri Prade
|
|
Using Dempster-Shafer Theory in Knowledge Representation |
|
Alessandro Saffiotti
|
|
Valuation-based Systems for Discrete Optimization |
|
Prakash Shenoy
|
|
What is the Most Likely Diagnosis? |
|
David Poole
, Gregory Provan
|
|
|
